A Pervasive Application Rights Management Architecture (PARMA) based on ODRL
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Software license management is currently expanding from its traditional desktop environment into the mobile application space, but software vendors are still applying old licensing models to a platform where application rights will be specified, managed and distributed in new and different ways.This paper presents an open-source pervasive application rights management architecture (PARMA) for fixed network and mobile applications that supports the specification of application rights in a rights expression language (REL) based on ODRL.Our rights specification model uses aspectoriented programming to generate modularized rights enforcement behaviour, which reduces development time for rights models such as feature-based usage rights and nagware.PARMA manages vendor and customer application rights over multiple platforms using a web services architecture and a container model on the client-side.The container model also supports the integration of services such as payment and encourages the super distribution of the rights object with associated default (evaluation) rights.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.008 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it